Joanna E. Wood short stories, 1898-1900
Bibliographic record
Abstract
Joanna Ellen Wood (1867-1927) was an acclaimed Canadian author who wrote several novels and short stories. Wood was born in Scotland, but emigrated to Canada with her family in 1869. In 1874 her father purchased a farm overlooking the Niagara River at Queenston. It is believed she was supported by her brother William, who encouraged her writing. She was based in New York City from 1887-1901, using William’s business address there to receive correspondence while she traveled or spent time in Queenston. Around 1906, Wood moved with her mother to Niagara-on-the-Lake, where she joined the Niagara Historical Society. By 1914, she was living in Buffalo, but later spent time at her sisters’ homes. It was at her sister’s home in Detroit where she suffered a stroke and died in 1927. Wood’s literary career was short-lived. She published her first novel, The Untempered Wind , in 1894, and a second novel, Judith Moore …, in 1898. Both novels received critical acclaim, and a third novel, Farden Ha', followed in 1902. Unfortunately the majority of Wood’s numerous and award-winning writings cannot be found. Her career peaked in 1901, when she was the highest paid Canadian fiction writer. For unknown reasons, her career abruptly ceased in 1902, with no further publications or mention made of her in the Canadian Magazine.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.048 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".